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Camera Configuration Design in Cooperative Active Visual 3d Reconstruction: A Statistical Approach

机译:协作式主动Visual 3d重建中的摄像机配置设计:一种统计方法

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Visual 3D reconstruction is an essential technique in computer vision which restores the 3D model of the scene from multi-view images. In this paper, we propose a statistical framework for the active visual 3D reconstruction. We first derive a closed-form expression to characterize the dependence of the reconstruction performance on 3D point’s position and camera setting parameters under the binocular camera setting. Then we derive several closed-form solutions and propose an efficient optimization algorithm to find the optimal camera configurations with the best reconstruction quality under various settings. Numerical results validate the performance of our methods in terms of both reconstruction accuracy and computational efficiency.
机译:视觉3D重建是计算机视觉中的一项必不可少的技术,该技术可从多视图图像还原场景的3D模型。在本文中,我们提出了一种用于主动视觉3D重建的统计框架。我们首先导出一个封闭形式的表达式,以表征在双目相机设置下重建性能对3D点位置和相机设置参数的依赖性。然后,我们导出了几种封闭形式的解决方案,并提出了一种有效的优化算法,以找到在各种设置下具有最佳重建质量的最佳摄像机配置。数值结果从重建精度和计算效率两方面验证了我们方法的性能。

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